Val Town Code Search

huggingfacePipeline main.tsx17 matches

@yawnxyz•Updated 11 months ago

1const HUGGING_FACE_API_URL = "https://api-inference.huggingface.co/models";
2const HUGGING_FACE_API_KEY = Deno.env.get("HUGGING_FACE_API_KEY");
3
4const defaultModels = {
60
61    async featureExtraction(input, options) {
62        return this.callHuggingFaceAPI(input, options);
63    }
64
65    async textClassification(input, options) {
66        return this.callHuggingFaceAPI(input, options);
67    }
68
69    async tokenClassification(input, options) {
70        return this.callHuggingFaceAPI(input, options);
71    }
72
73    async questionAnswering(input, options) {
74        return this.callHuggingFaceAPI(input, options);
75    }
76
77    async summarization(input, options) {
78        return this.callHuggingFaceAPI(input, options);
79    }
80
81    async translation(input, options) {
82        return this.callHuggingFaceAPI(input, options);
83    }
84
85    async textGeneration(input, options) {
86        return this.callHuggingFaceAPI(input, options);
87    }
88
89    async sentenceSimilarity(input, options) {
90        return this.callHuggingFaceAPI(input, options);
91    }
92
93    async callHuggingFaceAPI(payload, options) {
94        try {
95            const response = await fetch(`${HUGGING_FACE_API_URL}/${this.model}`, {
96                method: "POST",
97                headers: {
98                    "Authorization": `Bearer ${HUGGING_FACE_API_KEY}`,
99                    "Content-Type": "application/json"
100                },
104            if (!response.ok) {
105                const error = await response.json();
106                console.error("Hugging Face API Error:", error);
107                return { error: `API request failed: ${error.error}` };
108            }
109
111            return data;
112        } catch (error) {
113            console.error("Error calling Hugging Face API:", error);
114            return { error: "Error calling Hugging Face API" };
115        }
116    }

sqliteExplorerApp README.md1 match

@vawogbemi•Updated 11 months ago

13## Authentication
14
15Login to your SQLite Explorer with [password authentication](https://www.val.town/v/pomdtr/password_auth) with your [Val Town API Token](https://www.val.town/settings/api) as the password.
16
17## Todos / Plans

sqliteExplorerApp main.tsx2 matches

@vawogbemi•Updated 11 months ago

27      <head>
28        <title>SQLite Explorer</title>
29        <link rel="preconnect" href="https://fonts.googleapis.com" />
30
31        <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
32        <link
33          href="https://fonts.googleapis.com/css2?family=Fira+Code:wght@300..700&family=Source+Sans+3:ital,wght@0,200..900;1,200..900&display=swap"
34          rel="stylesheet"
35        />

OpenAI README.md3 matches

@wangqiao1234•Updated 11 months ago

1# OpenAI - [Docs ↗](https://docs.val.town/std/openai)
2
3Use OpenAI's chat completion API with [`std/openai`](https://www.val.town/v/std/openai). This integration enables access to OpenAI's language models without needing to acquire API keys.
4
5For free Val Town users, [all calls are sent to `gpt-3.5-turbo`](https://www.val.town/v/std/openaiproxy?v=5#L69).
34If these limits are too low, let us know! You can also get around the limitation by using your own keys:
35
361. Create your own API key on [OpenAI's website](https://platform.openai.com/api-keys)
372. Create an [environment variable](https://www.val.town/settings/environment-variables?adding=true) named `OPENAI_API_KEY`
383. Use the `OpenAI` client from `npm:openai`:
39

blob_admin README.md1 match

@vawogbemi•Updated 11 months ago

9[![](https://stevekrouse-button.express.val.run/Install)](https://www.val.town/v/stevekrouse/blob_admin_app/fork)
10
11It uses [basic authentication](https://www.val.town/v/pomdtr/basicAuth) with your [Val Town API Token](https://www.val.town/settings/api) as the password (leave the username field blank).
12
13# TODO

readwiseHighlights main.tsx2 matches

@zerovox•Updated 11 months ago

11      queryParams.append("pageCursor", nextPageCursor);
12    }
13    console.log("Making export api request with params " + queryParams.toString());
14    const response = await fetch("https://readwise.io/api/v2/export/?" + queryParams.toString(), {
15      method: "GET",
16      headers: {

readwiseHighlights README.md1 match

@zerovox•Updated 11 months ago

1https://readwise.io/api_deets
2
3Not sure how to convert from a reader ID (string) to a readwise ID (number)

readwiseReaderDocumentList main.tsx2 matches

@zerovox•Updated 11 months ago

43      queryParams.append("location", location);
44    }
45    console.log("Making export api request with params " + queryParams.toString());
46    const response = await fetch("https://readwise.io/api/v3/list/?" + queryParams.toString(), {
47      method: "GET",
48      headers: {

readwiseReaderDocumentList README.md1 match

@zerovox•Updated 11 months ago

1Reader docs here: https://readwise.io/reader_api
2
3Adapted from the example code. Fetches items from Readwise Reader given a token, and optional updatedAfter and location parameters.

readwiseReaderReadItemsRss README.md2 matches

@zerovox•Updated 11 months ago

1Creates an RSS feed of my read items from Readwise Reader.
2
3Reader docs here: https://readwise.io/reader_api
4
5In order to get read items from Readwise Reader -> Workflowy, this turns the read items (aka "archive") into an RSS feed, which Zapier picks up, and creates bullets in Workflowy.
6
7Ideally would store the generated RSS or the last fetch date, and only get new items, but for now `readwiseReaderDocumentList` re-fetches the full history each time.